Abstract
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Background/Introduction:
The WHO EMT Minimum Data Set (EMT-MDS) was designed for data collection in sudden-onset disasters. Using EMT-MDS in the context of primary health care (PHC) generated large quantities of low granularity data that threatened the successful delivery of UK-Med’s clinical programs in Ukraine. Accordingly, UK-Med developed, piloted, and implemented a new coding tool (PHC-CT) tailored to PHC presentations prevalent in humanitarian settings.
Objectives:
To assess the performance of EMT-MDS and PHC-CT in the generation of programmatically-useful diagnostic codes from data collected in mobile PHC clinics in Ukraine during active conflict.
To compare the performance of EMT-MDS and PHC-CT in this setting and to suggest recommendations for data collection tool improvements.
Method/Description:
After multiple iterations, the final version of PHC-CT was used to collect clinical data from all UK-Med clinical encounters in Ukraine from March 28, 2022-May 13, 2022. Clinical data using EMT-MDS were collected simultaneously. The prevalence of each diagnostic code was calculated using both EMT-MDS and PHC-CT, expressed as a proportion of the total diagnoses, and compared between the two coding tools.
Results/Outcomes:
1,390 clinical encounters took place during the study. Data coded using EMT-MDS generated 1,756 diagnoses (86.8% of total diagnoses) categorized as “Other Diagnosis” while the same data coded using PHC-CT generated 37 diagnoses (1.8% of total diagnoses) categorized as “Other Diagnosis.” Only seven of the available 25 diagnostic codes in EMT-MDS were used, while 48 of the 67 available diagnostic codes in PHC-CT were used.
Conclusion:
PHC-CT offers substantial benefits beyond those provided by EMT-MDS when utilized in mobile PHC clinics in humanitarian settings.
Tables and Figures (optional)
Table 1.
Number of Clinical Encounters, Unique Diagnoses, and Frequency of Selected Diagnostic Codes for EMT-MDS and PHC-CT. (Note: % refers to proportion of diagnoses made)
